AI Engineer
Tasks
- Architect end-to-end AI solutions
- Build agentic workflows
- Build and optimize retrieval systems
- Conduct client solution design reviews and presentations
- Design RAG pipelines
- Design infrastructure using IaC
- Develop multimodal applications
- Ensure compliance with federal standards and responsible AI practices
- Evaluate and integrate large language models
- Implement AI agents and multi agent orchestration
- Implement AI evaluation frameworks
- Implement hybrid search strategies
- Integrate semantic chunking knowledge graphs structured data fusion
- Own AI lifecycle data ingestion embedding chunking prompt engineering evaluation fine tuning monitoring
Perks/Benefits
Skills/Tech-stack
AI Search | AKS | AWS Bedrock | Amazon SageMaker | Autogen | Azure AI | Azure AI Search | Azure OpenAI | CrewAI | Fine Tuning | Human-in-the-loop | Hybrid search | Knowledge graphs | LLM-as-a-Judge | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | OpenSearch | PEFT | PGVector | Pinecone | Prompt engineering | Pulumi | Ragas | Retrieval-Augmented Generation | Terraform | The Loop | Vector Databases | Vertex AI | Weaviate
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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